| 2026 | AAAI | SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs. | Shuhan Xu, Siyuan Liang, Hongling Zheng, Aishan Liu, Xinbiao Wang, Yong Luo, Fu Lin, Leszek Rutkowski, Dacheng Tao |
| 2026 | AAAI | Rethinking Visual Token Reduction in LVLMs Under Cross-Modal Misalignment. | Rui Xu, Yunke Wang, Yong Luo, Bo Du |
| 2026 | AAAI | Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification. | Tianwen Zhu, Guangyu Wu, Zhiwei Cao, Ruihang Wang, Jimin Jia, Yong Luo, Yonggang Wen |
| 2025 | AAAI | Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models. | Wenbin Wang, Liang Ding, Minyan Zeng, Xiabin Zhou, Li Shen, Yong Luo, Wei Yu, Dacheng Tao |
| 2025 | AAAI | MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading. | Wenhao Zhang, Jun Wang, Yong Luo, Lei Yu, Wei Yu, Zheng He, Jialie Shen |
| 2025 | ACL | ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models. | Xuxu Liu, Siyuan Liang, Mengya Han, Yong Luo, Aishan Liu, Xiantao Cai, Zheng He, Dacheng Tao |
| 2025 | ICASSP | EgoNet: An Unified Egocentric Active Speaker Detection Framework for both Camera Wearer and Visible Candidates. | Yongqian Li, Xin Zhou, Zheng He, Wei Yu, Yong Luo |
| 2025 | ICIG | CLEST-IQA: Contrastive Learning-Enhanced Swin Transformer for Image Quality Assessment. | Jiacheng Zhang, Yongqian Li, Dixiao Tao, Yong Luo, Xin Zhou, Dehua Cao, Cheng Li, Yi Zhang |
| 2025 | ICLR | FIRING-Net: A filtered feature recycling network for speech enhancement. | Xinmeng Xu, Yiqun Zhang, Jizhen Li, Yuhong Yang, Yong Luo, Weiping Tu |
| 2025 | ICML | Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision. | Li Shen, Anke Tang, Yong Luo, Tao Sun, Han Hu, Xiaochun Cao |
| 2025 | ICML | Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG. | Wenbin Wang, Yongcheng Jing, Liang Ding, Yingjie Wang, Li Shen, Yong Luo, Bo Du, Dacheng Tao |
| 2025 | ICML | Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making. | Hongling Zheng, Li Shen, Yong Luo, Deheng Ye, Bo Du, Jialie Shen, Dacheng Tao |
| 2025 | ICONIP | Successive Mouse Movement: Dual-Phase Adaptation with Pre-balancing and Test-Time Learning. | Jingyi Feng, Yong Luo, Anke Tang, Xuxu Liu |
| 2025 | IJCAI | A Dual Stream Visual Tokenizer for LLM Image Generation. | Yongqian Li, Yong Luo, Xiantao Cai, Zheng He, Zhennan Meng, Nidong Wang, Yunlin Chen, Zhifei Li |
| 2025 | IJCAI | Open-Vocabulary Fine-Grained Hand Action Detection. | Ting Zhe, Mengya Han, Xiaoshuai Hao, Yong Luo, Zheng He, Xiantao Cai, Jing Zhang |
| 2025 | MICCAI | Anatomy-Conserving Unpaired CBCT-to-CT Translation via Schrdinger Bridge. | Ke Shi, Song Ouyang, Gang Liu, Yong Luo, Kehua Su, Zhiwen Liang, Bo Du |
| 2025 | MMM | Robust Active Speaker Detection in Challenging Environments Using GNN-Fused Multi-modal Cues and Body Language. | Yongqian Li, Yong Luo, Xin Zhou |
| 2024 | AAAI | Decomposing Semantic Shifts for Composed Image Retrieval. | Xingyu Yang, Daqing Liu, Heng Zhang, Yong Luo, Chaoyue Wang, Jing Zhang |
| 2024 | AAAI | Cycle Self-Refinement for Multi-Source Domain Adaptation. | Chaoyang Zhou, Zengmao Wang, Bo Du, Yong Luo |
| 2024 | ACL | OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models. | Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao |
| 2024 | CVPR | Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names. | Yapeng Li, Yong Luo, Zengmao Wang, Bo Du |
| 2024 | ICANN | EDPS-SST: Enhanced Dynamic Path Stitching with Structural Similarity Thresholding for Large-Scale Medical Image Stitching Under Sparse Pixel Overlap. | Zhuan Han, Dixiao Tao, Bohan Yang, Yong Luo, Baochuan Pang, Dehua Cao, Cheng Li, Xin Zhou |
| 2024 | ICANN | SCST: Spatial Consistent Swin Transformer for Multi-focus Biomedical Microscopic Image Fusion. | Dengpan Liu, Jiacheng Zhang, Bohan Yang, Yong Luo, Baochuan Pang, Dehua Cao, Cheng Li, Xin Zhou |
| 2024 | ICANN | Depression Diagnosis and Analysis via Multimodal Multi-order Factor Fusion. | Chengbo Yuan, Xuxu Liu, Qianhui Xu, Yongqian Li, Yong Luo, Xin Zhou |
| 2024 | ICLR | Parameter-Efficient Multi-Task Model Fusion with Partial Linearization. | Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao |
| 2024 | ICML | Merging Multi-Task Models via Weight-Ensembling Mixture of Experts. | Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao |
| 2024 | ICML | Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases. | Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao |
| 2024 | IJCAI | Eliminating the Cross-Domain Misalignment in Text-guided Image Inpainting. | Muqi Huang, Chaoyue Wang, Yong Luo, Lefei Zhang |
| 2024 | IJCAI | Zero-shot Learning for Preclinical Drug Screening. | Kun Li, Weiwei Liu, Yong Luo, Xiantao Cai, Jia Wu, Wenbin Hu |
| 2024 | IJCAI | Joint Input and Output Coordination for Class-Incremental Learning. | Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao |
| 2023 | AAAI | FedABC: Targeting Fair Competition in Personalized Federated Learning. | Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao |
| 2023 | ICANN | Spatially Invariant and Frequency-Aware CycleGAN for Unsupervised MR-to-CT Synthesis. | Shuang Song, Jun Zhang, Wenbin Hu, Yong Luo, Xin Zhou |
| 2023 | ICANN | MBMS-GAN: Multi-Band Multi-Scale Adversarial Learning for Enhancement of Coded Speech at Very Low Rate. | Qianhui Xu, Weiping Tu, Yong Luo, Xin Zhou, Li Xiao, Youqiang Zheng |
| 2023 | ICANN | MFT: Multi-scale Fusion Transformer for Infrared and Visible Image Fusion. | Chen-Ming Zhang, Chengbo Yuan, Yong Luo, Xin Zhou |
| 2023 | ICLR | Symmetric Pruning in Quantum Neural Networks. | Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao |
| 2023 | IJCAI | Improving Heterogeneous Model Reuse by Density Estimation. | Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao |
| 2023 | WSDM | CLNode: Curriculum Learning for Node Classification. | Xiaowen Wei, Xiuwen Gong, Yibing Zhan, Bo Du, Yong Luo, Wenbin Hu |
| 2022 | AAAI | Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation. | Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du |
| 2022 | EMNLP | Dependency Parsing via Sequence Generation. | Boda Lin, Zijun Yao, Jiaxin Shi, Shulin Cao, Binghao Tang, Si Li, Yong Luo, Juanzi Li, Lei Hou |
| 2022 | MICCAI | LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection. | Rui Xu, Yong Luo, Bo Du, Kaiming Kuang, Jiancheng Yang |
| 2022 | MMSP | Knowledge Graph enhanced Multimodal Learning for Few-shot Visual Recognition. | Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Bo Du, Dacheng Tao |
| 2022 | MMSP | Nonlinear Multi-Model Reuse. | Yong Luo, Ling-Yu Duan, Yan Bai, Tongliang Liu, Yihang Lou, Yonggang Wen |
| 2022 | MMSP | Robust Metric Boosts Transfer. | Qiancheng Yang, Yong Luo, Han Hu, Xin Zhou, Bo Du, Dacheng Tao |
| 2021 | EMNLP | Unsupervised Domain Adaptation Method with Semantic-Structural Alignment for Dependency Parsing. | Boda Lin, Mingzheng Li, Si Li, Yong Luo |
| 2021 | ICCV | Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment. | Lin Zhang, Yong Luo, Yan Bai, Bo Du, Ling-Yu Duan |
| 2019 | CIKM | ResumeGAN: An Optimized Deep Representation Learning Framework for Talent-Job Fit via Adversarial Learning. | Yong Luo, Huaizheng Zhang, Yonggang Wen, Xinwen Zhang |
| 2019 | WWW | Knowledge-Enhanced Ensemble Learning for Word Embeddings. | Lanting Fang, Yong Luo, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu |
| 2019 | VCIP | Toward Intelligent Visual Sensing and Low-cost Analysis: A Collaborative Computing Approach. | Yan Bai, Ling-Yu Duan, Yong Luo, Shiqi Wang, Yonggang Wen, Wen Gao |
| 2019 | SENSYS | Heterogeneous Transfer Learning for Thermal Comfort Modeling. | Weizheng Hu, Yong Luo, Zongqing Lu, Yonggang Wen |
| 2018 | ICDM | ResumeNet: A Learning-Based Framework for Automatic Resume Quality Assessment. | Yong Luo, Huaizheng Zhang, Yongjie Wang, Yonggang Wen, Xinwen Zhang |
| 2018 | IJCAI | Deep Discrete Prototype Multilabel Learning. | Xiaobo Shen, Weiwei Liu, Yong Luo, Yew-Soon Ong, Ivor W. Tsang |
| 2018 | IJCAI | Online Heterogeneous Transfer Metric Learning. | Yong Luo, Tongliang Liu, Yonggang Wen, Dacheng Tao |
| 2017 | AAAI | Cost-Sensitive Feature Selection via F-Measure Optimization Reduction. | Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao |
| 2017 | ICNC | An optimization model of outpatient appointment scheduling window with patient no-show. | Ying Zhou, Yong Luo |
| 2017 | IJCAI | Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning. | Yong Luo, Dacheng Tao, Yonggang Wen |
| 2017 | IJCAI | General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer. | Yong Luo, Yonggang Wen, Tongliang Liu, Dacheng Tao |
| 2016 | GLOBECOM | Toward Effortless TV-to-Online (T2O) Experience: A Novel Metric Learning Approach. | Yong Luo, Yonggang Wen, Dacheng Tao, Qiang Fu |
| 2016 | ICDE | Tensor canonical correlation analysis for multi-view dimension reduction. | Yong Luo, Dacheng Tao, Kotagiri Ramamohanarao, Chao Xu, Yonggang Wen |
| 2016 | IJCAI | On Combining Side Information and Unlabeled Data for Heterogeneous Multi-Task Metric Learning. | Yong Luo, Yonggang Wen, Dacheng Tao |
| 2015 | AAAI | Low-Rank Multi-View Learning in Matrix Completion for Multi-Label Image Classification. | Meng Liu, Yong Luo, Dacheng Tao, Chao Xu, Yonggang Wen |
| 2015 | BMVC | Manifold Regularized Transfer Distance Metric Learning. | Haibo Shi, Yong Luo, Chao Xu, Yonggang Wen |
| 2014 | AAAI | Pre-Trained Multi-View Word Embedding Using Two-Side Neural Network. | Yong Luo, Jian Tang, Jun Yan, Chao Xu, Zheng Chen |
| 2013 | AAAI | Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification. | Yong Luo, Dacheng Tao, Chang Xu, Dongchen Li, Chao Xu |
| 2013 | ICIG | FIM: A Real-Time Content Based Sample Image Matching System. | Yong Luo, Yangxi Li, Jinhui Tu, Chao Xu |
| 2012 | ISSAC | Factorization of differential operators with ordinary differential polynomial coefficients. | Mingbo Zhang, Yong Luo |
| 2011 | MMM | Query Difficulty Guided Image Retrieval System. | Yangxi Li, Yong Luo, Dacheng Tao, Chao Xu |
| 2001 | FCCM | Mutable Functional Units: Initial Results. | Yan Solihin, Kirk W. Cameron, Yong Luo, Dominique Lavenier, Maya B. Gokhale |
| 2001 | ICCD | Mutable Functional Units and Their Applications on Microprocessors. | Yan Solihin, Kirk W. Cameron, Yong Luo, Dominique Lavenier, Maya B. Gokhale |
| 2001 | LPAR | Coherence and Transitivity in Coercive Subtyping. | Yong Luo, Zhaohui Luo |
| 2001 | SMC | XML based messaging service system by JavaSpaces. | Yong Luo, Motoyasu Nagata |
| 2000 | SMC | XML based message queuing. | Lan Ye, Yong Luo, Motoyasu Nagata |
| 1997 | SC | Performance Evaluation of the SGI Origin2000: A Memory-Centric Characterization of LANL ASCI Applications. | Harvey J. Wasserman, Olaf M. Lubeck, Yong Luo, Federico Bassetti |